# RFix

> RFix is a desktop-first RF signal simulation platform for visually composing
> controlled RF scenarios, generating IQ data, inspecting results, and exporting
> datasets and projects. The browser edition is a reduced online demo.

Canonical site: https://rfix.ai/
Product: https://rfix.ai/product/
Validation: https://rfix.ai/validation/
Examples: https://rfix.ai/examples/
Product comparisons: https://rfix.ai/compare/
MCP integration: https://rfix.ai/product/#mcp
Changelog: https://rfix.ai/changelog/
Contact: https://rfix.ai/contact/

## Public wireless digital-twin demos

- New York: https://rfix.ai/digital-twin?world=new-york
- Strait of Hormuz: https://rfix.ai/digital-twin?world=hormuz
- Kyiv: https://rfix.ai/digital-twin?world=kyiv
- Mars: https://rfix.ai/digital-twin?world=mars

These browser demos use frozen, precomputed propagation results and include
downloadable sample IQ recordings with SigMF metadata. They do not run a live
Sionna simulation in the browser.

## Capabilities

- Node-based RF scenario and signal-chain composition.
- Generated complex IQ data with scenario metadata and deterministic variants.
- Spectrogram and time-domain analysis.
- Raw IQ and SigMF-oriented export workflows.
- Desktop-first optional ITU-R climatology and Sionna RT workflows.
- Python/API and Model Context Protocol workflows for automation.
- File-backed artifacts for large generated outputs.
- Public wireless digital-twin examples with terrain-aware propagation views,
  spectra, link metrics, and sample IQ recordings.

## Important boundaries

- The native desktop runtime is the primary product target.
- The browser/Pyodide version is a secondary demo with reduced performance and
  capability.
- A free RFix plan is available; optional licensed capabilities and client-only
  deployments are offered separately.
- Optional SDR, Sionna RT, and ITU climatology features require compatible
  desktop runtimes or data packs.
- Generated data should be validated against the downstream receiver,
  algorithm, or RFML acceptance criteria.

## Content use

RFix permits search indexing, use as real-time AI input, and model training as
declared in https://rfix.ai/robots.txt.